Create data prep and ML pipelines using a point-and-click UI or Jupyter Notebook. Orchestrate analytics using the tools, languages, and frameworks of choice. Then, deploy, manage, and govern models across distributed environments to deliver insights you can trust and act on with confidence.

This listing allows up to 10 Data Science authors to create workflows, which can be shared with an unlimited number of Collaborators and Business Users.